Monday, Aug. 24

Agenda:

--Discuss syllabus
--Blackboard site
--Teams
--Intellectual Property / Data Sharing Releases
--Arkansascovid.com
--Intro R and R Studio. Open program.
--Read Machlis, Ch. 2
--Advanced learners, see below

Teams

  For the first class, please have Teams installed so we can do some exercises.    
  Teams is free through your university Office365 account. Download the Teams App through the Office365 suite.

https://its.uark.edu/communication-collaboration/office365/office365-desktop-apps.php

Teams Videos

  Microsoft Teams allows us to easily share information through the class or in discrete groups.
  
  Chat in Teams

https://www.microsoft.com/en-us/videoplayer/embed/RE4rLgJ?pid=ocpVideo5-innerdiv-oneplayer&postJsllMsg=true&maskLevel=20&market=en-us

  Create a post

https://www.microsoft.com/en-us/videoplayer/embed/RE2BIrO?pid=ocpVideo0-innerdiv-oneplayer&postJsllMsg=true&maskLevel=20&market=en-us

  How to tag a person in Teams

https://www.microsoft.com/en-us/videoplayer/embed/RWkJ9C?pid=ocpVideo0-innerdiv-oneplayer&postJsllMsg=true&maskLevel=20&market=en-us

R and R Studio

Install R and R Studio.

This is free and open source software. It is not large and doesn't tax the memory a lot. 
R runs on Windows, Mac and Linux, but this course is designed for the Mac version. 
If you use Windows, there may be variations in the lessons and instructions. Please see me      for questions.

Installing R is a two-step process: 
1) Install R, the actual program
2) Install RStudio, a common interface 

1) Download the most recent version of R for Mac:         

https://mirrors.nics.utk.edu/cran/bin/macosx/R-4.0.2.pkg

--If you have a Windows computer, go to: 

https://mirrors.nics.utk.edu/cran/bin/windows/base/R-4.0.2-win.exe

Accept all of the default settings for Mac.

 2) Install RStudio, the interface we use to manage and create R code. Download the open         source edition of R Studio desktop and follow the prompts to install it.   

https://rstudio.com/products/rstudio/download/#download

 Good instructions for installing R

http://www.machlis.com/R4Journalists/download-r-and-rstudio.html

Good overview of the program

https://docs.google.com/presentation/d/1O0eFLypJLP-PAC63Ghq2QURAnhFo6Dxc7nGt4y_l90s/edit#slide=id.p

Intellectual Property / Data Sharing Releases

UofA Rules of Conduct

https://docs.google.com/document/d/1YkdkRIzIs1WQ3P9KIICvHcppfWvwTyo2bRhGwQPsgVE/edit

License Agreement

https://docs.google.com/document/d/1AahzxDOzTf9Z6PBjBvFBOjnn9_BiM4YldnXW-mHZr9s/edit

    Machlis, Sharon. Practical R for Mass Communications and Journalism. Chapman & Hall/CRC The R Series. 2018. ISBN 9781138726918 https://www.amazon.com/gp/search?keywords=9781138726918
    Ch. 1, Introduction; Ch. 3, See How Much You Can Do in a Few Lines of Code
   Chapter 2: Get Started With R in a Few Easy Steps
   
   Here is the link to the firts six chapters for free
   

   Basic tutorial on R:
   

  (Left click, download, remove.txt extension)

--Import Arkansascovid.com data and summarize Washington County trends

Wednesday, Aug. 26

Agenda

  Arkansascovid.com
  Intro to Tableau
  Teams
  IRE Conference  IRE20 Conference will be Sept. 21-25 
  Exercises and tutorial

Same Goal, New Direction

Our partnership with Arkansascovid.com has changed.

Misty Orpin has asked the Journalism Department to run the website. https://arkansascovid.com/

I said yes.

It's an incredible opportunity for the class and the School of Journalism.

And here is how we will do it.

--The School of Journalism will have a GA and a Graduate Intern dedicated to basic daily update of the site: home page data, key charts, a few key Tweets per day.

--This class will write stories and produce data visualizations based on Arkansascovid.com data. That was our original goal. We will just be doing more and with different tools, primarily Tableau and then R, and in a different way.

And we will be Tweeting and doing podcasts, so that will be new.

Normally, I do not revise the course plan like this after the first day of class. But what an opportunity for all of us!

You and the School of Journalism and Strategic Media will be running a multimedia data site and Twitter feed with 11,000 followers reporting on one of the most important issues facing society.

What is New

  This course will emphasize Tableau for the next two months instead of R 
  We will shift to a more limited examination of R in October  
  Tableau is less complex than R   
  Homework assignments will involve Tweeting on the account   

IRE Conference: Sept. 21-25

  Fellowship: 

https://www.ire.org/events-and-training/conferences/2020-ire-conference/ire20-fellowships-scholarships

Tableau Introduction

  Please download this tutorial

https://wordpressua.uark.edu/datareporting/tableau/

Nerd Corner

  Those of you who don't need a Tableau introduction, please do this
  1) Create a new Tableau project and link to this Google Sheet

https://docs.google.com/spreadsheets/d/1g-gkjJOr1sKAu6rZHG04XA5_fM_Ma0jLr5r24fwMqiA/edit?usp=sharing You may need to copy the sheet to your own Google Drive to make it work. Let me know what you find out.

  2) Use the Austin Wilkins automated feed of ADH data to replicate any of the arkansascovid.com charts.

https://docs.google.com/spreadsheets/d/1-qxYxhtwZnGTsRbc4_WmPjROCjQZnnMusxpJN4XtVoc/edit?ts=5f4593cd&pli=1#gid=0

This exercise will test out your Twitter skills. It is not a live Tweeting exercise. That will come next week!
Tweeting: Examine the Arkansascovid.com data for Aug. 24.   

https://docs.google.com/spreadsheets/d/1Yq2MdmMfWijmZzJwA2VulWJzOCWSiOa--SasEAGo7XY/edit#gid=1357388768

Create a Google Doc.   

Produce four draft tweets based on new cases, deaths and two other items based on Gov. Hutchison's Aug. 24 press conference, found here:

https://www.youtube.com/channel/UCLJcNdgp2PMEmiqJEoYzqwQ

Provide a Tableau image for each Tweet.   

Post the Google Doc link on the Blackboard assignment.

Monday, Aug. 31

Agenda

Update on Daily Work Process
Who Are We?  
Review Tweet Assignment. Tableau     
Story Pitches    
Arkansascovid.com workflow    
R Basics    
Prepare Questions for Misty Orpin  
What is Wrong With This Picture    

_________________________________________________________________________________________

Random: My nephew, Nick Wells, on a 40-mile trail run Saturday on Mt Hood in Oregon

_________________________________________________________________________________________

Here’s an update

I made a lot of progress over the weekend figuring out the automation process to gather and crunch the daily numbers. I will discuss this in class but I want you all to check this short video before class tomorrow.

https://video.uark.edu/media/ADH+Data+Flow+to+Arkcovid/0_c6hn4feo

After looking at everything, I turned to R to streamline the data gathering and analysis process. So I will be teaching you guys the basic R in tandem with Tableau. They fit hand in hand.

For this class, the grading be based on a combination of daily task work to keep the site running and a few assignments that highlight the data skills I want you to learn this semester.

• Daily Tasks

        Some combination of these each week:   
  
        See link to Daily Tasks in Teams    
        Tweeting duties: 
           Prepare and monitor twitter for research requests, feedback, engagement.    
           Draft responses. Post in Teams     
        Data Visualizations   
        Data Maintenance for Site    
        Web design, posting   
        Shorter stories    
        Improvements   
        UATV or other media partnership / appearance 
        Work with another class
        Tasks TBD 

Each week you’ll put a report of your activities in the “Daily Tasks” Assignment in Blackboard. Instructions are on that assignment.

The grading will be guided by this concept: Make meaningful contributions to the website each week. The term “meaningful contributions” is deliberately vague since we are in an evolving process. I don’t want to set a floor for minimal behavior - I am going to push you pretty hard and want you to multitask effectively. I would view the grading like this: Someone will get less than an A if they don’t communicate or flake out on an assignment. If you demonstrate to me that you are trying, we don’t have a problem.

• Assignments

        There are still four in the semester but there will be more flexibility on when they are handed in and what the content will involve. The basic skills I want everyone to learn remain the same: 
  
        —Carefully reported enterprise stories   
        —Data Visualization in R, Tableau (or Flourish)   
        -R Data Analysis with a basic chart   
        —Major Data Maintenance, Restructuring for Site      

The R and Tableau instructional material will be delivered like before. I will count on you guys to work through the exercises and gain basic competency.

Teams Has Two Standing Documents Posted for Daily Tasks and Story Pitches, which I will discuss below

• Who Are We?

  I have done a few media interviews since the announcement Thursday. First, the announcement was met by a great deal of enthusiasm in the community, among senior faculty and the like.
  A few questions came up.

  –Will we have the opinions that Misty offered in her Twitter feed? My response is Misty came to her opinions after some very in-depth reporting. My class is oriented towards the Associated Press style of reporting, hard news and analysis. Our posts will be rooted in-depth reporting that is transparent to the readers.

  –How do we respond to people who ask us Covid-19 questions? If you have the answer and can supply the source, then reply, noting you are speaking for yourself. If you are in doubt, say you don’t know and that you’ll raise the issue for the class.

  This should serve as a reminder that everyone in this class will be in a social media fishbowl. People may troll us and look in our social media feeds to find things to embarass the project. Keeping your personal social media feeds professional will be important. This is one thing all journalists need to acknowledge.

• Tasks To Do

  See document in Teams Suggest a task here. put a comment on it and tag me. If I agree, I’ll add it

• Story Pitches

  See document in Teams. If you have a story idea, even if it is not fully developed, put it here and the class can examine and discuss it.

_________________________________________________________________________________________

Exercise

Arkansascovid.com Tableau Lesson #2 –Notes are in Teams

https://wordpressua.uark.edu/datareporting/tableau/

Basic R exercise

–Left click on the link below, remove .txt extension, save as all files

https://github.com/profrobwells/CovidFall2020/blob/master/Exercises/Intro%20to%20R%208-20-2020.Rmd

Second option: If that isn’t successful, then go to the https://raw.githubusercontent.com/profrobwells/CovidFall2020/master/Exercises/Intro%20to%20R%208-20-2020.Rmd –Left Click on document –Save as ALL FILES. REMOVE .TXT extension

Third option: Download "Intro to R 8_20_2020.rmd from your browser directly. https://github.com/profrobwells/CovidFall2020/tree/master/Exercises

Ch 1 & 2 of Machlis: Key Points

Reproducible research 
Repetitive tasks in modern newsrooms.  Employment reports, crime stats, budgets
Variables - an R object
Assignment operator <-
Case sensitive
Vector: A vector can only have one type of data - all integers, all strings
Dataframe - like a spreadsheet
Save files - Don’t save workspace: because all of your variables will be stored and re-loaded the next time you launch RStudio. It’s too     easy to forget about previously stored variables that can interfere with later work,

Software packages: tidyverse, rio, pacman

Data Types and R

Machlis: 2.4.2 Data types you’re likely to use often

_________________________________________________________________________________________

Cohen, "Numbers in the Newsroom," Common Mistakes.   
Machlis. Ch 4: Import Data into R    
Basics of Data Analysis (On Blackboard)   

Wednesday, Sept. 2

Agenda

Guest speaker: Misty Orpin, Arkansascovid.com

  Look in the Machlis book about how to navigate R Markdown files.
  Load this tutorial in your R Studio and run it. 
  Contact me with questions.
  Introduction to R

  --Left Click on document
  --Save as ALL FILES. REMOVE .TXT extension
  

  Continue testing Arkansascovid scripts
  Work with Wells on GitHub account

 Machlis, Ch. 6: Beginning data visualization
 Video: Basic Charts in R  

Refresher: Numbers in the Newsroom (On Blackboard)

Monday, Sept. 7.

Happy Labor Day! No Class

Wednesday, Sept. 9

Agenda

Weekly memos
Story pitches. Due Saturday with weekly memo
Review Task List on Teams. Tweets
Editing the Tweets. Have the Image Match the Narrative
Volunteer editor W-T-F (pardon the pun)
Audience Engagement. Read the Feed! Twitter Response Hour.
Continue with R tutorial
Exercise: Loading Data from U.S. Census & Student Loans
top_n function makes life easy  
Sorting

Weekly memos

Please supply links to documents and data you worked on.
The memos will be my resource for finding stuff. Help me find things

Story Pitch for Assignment #1. Due With Weekly Memo, Saturday

  Story Pitch for this assignment. 200 Words on your idea, list 3 sources and the data you plan to use.

  Assignment #1: (Due Sept. 23): Managing Data / Static Graphic
  Static Graphic - Managing Data in R / Tableau.        
  Students will use R Studio to gather, analyze and visualize Arkansascovid data and report and write a 600 word story. 

• Exercise

  Downloading Data 9-9-2020.Rmd

  https://raw.githubusercontent.com/profrobwells/CovidFall2020/master/Exercises/Downloading%20Data%209-9-2020.Rmd

  Check what software packages are running: Global Environment
  Navigation: 

  ^ + shift + 8 = Zoom to Environment
  AP Style on numbers: AP Numerals Entry.pdf

Notes

 --The pie chart focuses the reader on large percentages, and encourages the reader to think of the total
--The stacked bar plot provides the same information, but makes it easier to accurately determine at a glance how large each group is out of the whole.
--This bar chart splits the categories horizontally, and draws attention to how the family members are ordered. It encourages the reader to think about the distribution rather than disconnected categories, and gives a better sense of sense of scale.     
  

Wong, Dona M. The Wall Street Journal Guide to Information Graphics. 
Ch. 2: Chart Smart

Charts_with_ggplot by Andrew Ba Tran

Grammar of Graphics

Monday, Sept. 14

Agenda

Teams Housecleaning: Master Work Document
Twitter: Voice, engagement, training wheels: sign up
Twitter schedule this week
Review Task List - Sign up for Tweets
2 pm call Gavin Lesnick and Data Format Changes   
Data - R quick viz on publication
GitHub data

-GitHub Site for Arkansascovid

https://github.com/Arkansascovid/Main

-2 pm call Gavin Lesnick and Data Format Changes

https://docs.google.com/document/d/1pLIqBGnEiYLVZg48qVDrm3Cajp4jiTwgxrWCKStaJwg/edit?usp=sharing

Maps in Tableau

New County Data
https://prod-useast-a.online.tableau.com/t/datareportinguofa/views/PCR-AntigenMAPS9-14-2020/PCR-Antigen?:origin=card_share_link&:embed=n

New county data https://raw.githubusercontent.com/profrobwells/CovidFall2020/master/new_county_data_9_13_2020.csv
Also here: https://docs.google.com/spreadsheets/d/1jILA2AQaSt36RsBPJLoAGAY_bpKd2UK0wWsXlXkS2cQ/edit#gid=1515682069

Basic maps for antigen and PCR testing today.

Create a new dashboard using the Homepage Numbers as a template

-Discuss

Wong, Dona M. The Wall Street Journal Guide to Information Graphics. Ch. 2: Chart Smart

  Baselines p 52    
  For Bar Charts, Zero Baseline! p 65
  Two-Thirds of Graph to Display Line   
  Increments - not in 3s or odd numbers. p 53     
  No More Than Four Lines: Simplicity
  Panel of Chart. p 55
  Labels, avoid Legends. p 57    
  Two Variables. Use % Change for 2nd Series. p 59   
  Comparable Scales For Two Charts. p 61

Identify two events you plan to attend and tell the class why

Wong, Dona M. The Wall Street Journal Guide to Information Graphics. 
Ch. 3 & 4: Ready Reference and Tricky Situations

Prof. Alberto Cairo on Data Visualization    

Wednesday, Sept. 16

Agenda

Assignment #1 Pushed to Sept. 23   
Second Eyes on Tweets - Editing Help   
Access to Google Drive and WordPress   
Workshop  

Assignment #1 Progress

  Assignment #1: (Due Sept. 23): Managing Data / Static Graphic
  Static Graphic - Managing Data in R / Tableau.        
  Students will use R Studio to gather, analyze and visualize Arkansascovid data and report and write a 600 word story. 

Workshop

Time to Divide and Conquer The Task List
Latest Details in the Task List

Katie join the new data with the old and document it
Kendall fix the mobile Wordpress links
Obed pull together the Spanish workbooks for the state update. Then the counties
Abby prepare text snippets to run out at 2 pm from the tweet slide. Look at new data releases and come up with additional snippets
Mary fix the demographic data and join it to the new version. Build Tableau templates

Wong, Dona M. The Wall Street Journal Guide to Information Graphics. 
Ch. 5: Charting Your Course

Albert Cairo, "The Functional Art," Principles of Data Visualization.

  1) IRE Conference Schedule, Identify two events you plan to attend and tell the class why. 

  2) White House coronavirus task force report on Arkansas. Describe two key points that struck you as interesting and worth a story, and explain why in a few paragraphs.      

  3) Describe your weekly tasks, including status of pending projects, and put in links to your work

Monday, Sept. 21

Agenda

Data Visualization
ggplot2 - charts and maps
IRE Conference Schedule - what are you attending
Data Visualization
ggplot2 - charts and maps
Export Static chart 
Discuss Ch 5, Machlis: See Notes



> [**GGplot Video from Andrew Ba Tran**](https://www.youtube.com/watch?v=Sx7d7eGRSj0&t=9s){target="_blank"} 

–

Review Assignment #1   
Assignment1_KEY_StaticGraphic_2_9.R    
Dplyr bootcamp. 
IRE Conference

Document obtained by the Center for Public Integrity.

https://publicintegrity.org/health/coronavirus-and-inequality/white-house-coronavirus-red-zone-reports-covid/

-Discuss

Wong, Dona M. The Wall Street Journal Guide to Information Graphics. Ch. 2: Chart Smart. p 70->

Exercise: Downloading Data 9-9-2020.Rmd

https://raw.githubusercontent.com/profrobwells/CovidFall2020/master/Exercises/Downloading%20Data%209-9-2020.Rmd

Graphing in GGPlot   

https://bit.ly/2Gqjfj4

Multiple variable in a graph
Geom_Line, Geom_point, Geom_bar
How to alter the colors in a chart.
Tutorial: Graphing Introducton Jan 11 2020.R

• GGPLOT

  A handy explanation of ggplot and its components

If you’re using ggplot: plus it!
For everything else: pipe it!

aes - reorder in ggplot 
 
geom_point() 
geom_bar()
geom_boxplot() 

• Data Visualization Intro

  Load tutorial: Basic Data Visualization 12-26-18.R

Download this file and open it in R Studio

  Questions for Nicole Clowney

  1) Describe Two Lessons Learned from Dona Wong, The Wall Street Journal Guide to Information Graphics, Ch. 2 and how that will apply to your Tableau work.     

  2) Reader feedback: Draft a response to this person. See "Stacy Robinson Your Post on Twitter" in Files | Teams    

https://bit.ly/32tw7Q1

Machlis: Ch. 8 Analyze data by groups
Transforming and Analyzing Data dplyr.pdf, Andrew Ba Tran, Washington Post
Dplyr - Andrew Ba  Tran - pipes-dplyr.pdf

Wednesday, Sept. 23

Agenda

Guest Speaker: Arkansas State Rep. Nicole Clowney, D-Fayetteville.
IRE Conference
Dplyr boot camp!!!
There is nothing else. Focus!!!
Assignment #1: (Due Sept. 23): Managing Data / Static Graphic

Guest Speaker: Rep. Nicole Clowney

Assignment #1: (Due Sept. 23): Managing Data / Static Graphic

  Static Graphic - Managing Data in R / Tableau.        
  Students will use R Studio to gather, analyze and visualize Arkansascovid data and report and write a 600 word story. 

• DPLYR

  DPLYR BOOT CAMP 5th Lesson 8-21-2020.Rmd

Code in Fun

Notes: How Do I?

https://smach.github.io/R4JournalismBook/HowDoI.html

Machlis 
Ch. 13 Date calculations
Dealing-with-dates.pdf by Andrew Ba Tran  

Monday Sept. 28

Agenda

Lubridate
Review Ch. 13 Machlis
Review Tran and Lubridate

Exercises

  Assignment #1: (Due Sept. 21): Managing Data / Static Graphic
  Static Graphic - Managing Data in R / Tableau.        
  Students will use R Studio to gather, analyze and visualize Arkansascovid data for Arkansas and report and write a 600 word story. 
  

TK TK TK Test Canvas: Excel Quiz

  The exercise: **TO BE UPDATED**   
  Lubridate_Intro_Feb_20.R

  What we will produce    

Machlis
Ch. 9 Graphing by Group
Ch. 11 Maps in R

Wednesday Sept. 30

Agenda

Lubridate

Exercises

**TO BE UPDATED**
Key to Lubridate Questions in Exercise:    

https://bit.ly/2BO92d1

Machlis
Ch. 11 Maps in R

Visual Narrative Tricks by Albert Cairo

Monday Oct. 5

Agenda

  Mapping
  

Exercises

      Mapping Demo: Map Demo 6th Lesson 8-22-2020.Rmd
      Mapping Exercise from Machlis book, Ch. 11      

https://bit.ly/2VXCSU2

Joining Dataframes in R  

Wednesday Oct. 7

Agenda

  Maps
  Andrew Ba Tran - Mapping

https://nicar.r-journalism.com/docs/ http://learn.r-journalism.com/en/mapping/
Data Cleaning
Disaggregating variables for summation

Ch. 7 Two or more data sets 

Data Wrangling

Monday, Oct. 12

Agenda

  Video of Machlis mapping  

https://www.youtube.com/watch?v=HFJOV5XaU_U See R script: Maps in R March 24 2019 https://bit.ly/2FvZDrB

Students will use R Studio to gather, analyze and visualize Arkansascovid data by demographic for       Arkansas using Census data or school district data. Results will be posted on GitHub. 600 Word          story. Data dictionary required
Students will produce publication-ready graphics from data. 
With the assigned dataset, XXXX.csv, students will produce the following tables:
Most common words used in data text field
Based on this information, write a 600 word story, following AP style, that describes potential         newsworthy trends. 
By 11:59 pm., you will submit the following on Blackboard:  
XXX charts in .jpeg format: 1) Common words 2) Common hashtags 3) Date trend chart
One Google Doc with your findings, 600 words. Append at the end a brief data dictionary.
An R script with the coding that shows how you loaded and cleaned the data and produced the charts

Machlis: Ch. 14 Integrate R With Your Storytelling Using R Markdown

Wednesday Oct. 14: Mapping

Agenda

  Adapt Machlis - Maps in R Ch 11 exercise for Median Income in Arkansas
  Maps in R March 24 2019 - Using the Census API

https://bit.ly/2FvZDrB

  Building a Census tract map
  

We will build this

TK TK Images/Income by Census Tract Washington Co.png)    

Exercises

Map Demo: Interactive Map.R
Adapt Machlis - Maps in R Ch 11 exercise for Median Income in Arkansas
![You will make this in the class]TK TK Images/ARmed_income3-22-19.png

Machlis Ch. 15 Simple Web scraping
APIs - basics   

Monday Oct. 19

Agenda

  Sign up for a census key:

https://api.census.gov/data/key_signup.html What is an API?

Machlis Ch. 12 Putting it all Together: R on Election Day

A gentle introduction to APIs for data journalists:   

tran mapping-census-data.html

Wednesday, Oct. 21 APIs

Agenda

APIs
Census API Exercise
tran mapping-census-data.rmd

Machlis Chs. 17 & 18
Census Reporter to look up tables

Monday Oct 26

Agenda

  Twitter API
  Twitter Scraping

Exercises

Twitter analysis of Trump Tweets 

http://varianceexplained.org/r/trump-tweets/

Twitter historical API

https://developer.twitter.com/en/docs/tutorials/choosing-historical-api

 Max Harlow Presentation on How to Use GitHub

“Connecting the Dots” by Jacob Harris (2015) and discuss how people should or should not be represented through news visualizations.

Wednesday Oct 28: GitHub

Agenda

    GitHub Exercises
    

Resources:

This class is intended to teach you modern workflow techniques for coding. A centerpiece of that workflow is GitHub. This is a website with a system that allows you to collaborate with other programmers on coding projects. It manages versions of software code and is a very popular with the tech elite. 

Your GitHub account, which is public, represents an important professional image. Prospective employers and collaborators will look at your GitHub account.

Create a GitHub account.

https://github.com/

Simplified GitHub- GitHub Desktop

https://help.github.com/en/desktop

Exercises

See Basic GitHub 4-22-19.R

https://bit.ly/2UAMGTd

Installing Git for a Mac - Andrew Ba Tran

--Follow this tutorial

Monday, Nov. 2

Agenda

  Using GitHub
  Set up R Project With GitHub
  Setting up an R Workflow

http://learn.r-journalism.com/en/publishing/workflow/r-projects/

Resources on GitHub

  GitHub flow   

https://guides.github.com/introduction/flow/

  GitHub Guides  

https://guides.github.com/

  Another GitHub guide  

https://andrewbtran.github.io/NICAR/2018/workflow/docs/03-integrating_github.html

  Students will use R Studio to build interactive maps of Arkansascovid occupational data in        Arkansas. Results will be posted on GitHub. Data dictionary required

Extracting Text Strings from data

Joins in R: 

  TK 

Wednesday, Nov. 4

TAKE A DEEP BREATH, AMERICA

Agenda

Joins in R
Data Cleaning and Text Mining
 

Tidy text mining

Bad data visualizations. Data Translation. 

The Journalist as Programmer: A Case Study of The New York Times Interactive News Technology            Department 

What is code?

Monday, Nov. 9

Agenda

Data Cleaning and Normalization
Review Assignment #3

Exercises

Splitting Hashtags 2-25-19.R   

https://bit.ly/2BQIE2i

R Markdown to distribute findings to Stanford, Feb 2020

https://profrobwells.github.io/HomelessSP2020/SF_311_Calls_UofA.html

Julia Angwin, Terry Parris Jr., Surya Mattu. “Breaking the Black Box: What Facebook Knows About         You,” ProPublica, 2016; 

Nicholas Diakopolous, “Algorithmic Accountability,” Digital Journalism, 2014.

Wednesday, Nov. 11

Agenda

Data Cleaning and Normalization
Text Mining

Exercises

  Kavanaugh text mining story: Text analysis of Brett Kavanaugh’s opinion.  

http://www.storybench.org/bringing-textual-analysis-tools-to-judge-brett-kavanaughs-latest-opinion/

  Text Mining with R

Monday, Nov. 16

Agenda

Text Mining Exercises
Coulter-AOC Twitter Feeds

Exercise

AOC-Coulter Data Mining Exercise: 
Coulter Tweet Analysis #2 Exercise

https://bit.ly/2TdY9Mv Key to the exercise:
https://bit.ly/2F3brlh

  Text Mining with R

Wednesday, Nov. 18

Agenda

  Continue With Text Mining
  Turn your R cheatsheet into a PDF
  Turn your R cheatsheet into a web page on GitHub

Exercise

  Sentiment of Gov. Hutchison's Twitter Feed
  Bigrams: 

http://bit.ly/bigramz

Coulter Bigrams - Score
TK TK Images/Coulter bigram score.jpeg)

Amy Webb future of journalism trends

Google search tips  

Artificial intelligence in the news  

Sharon Machlins Nicar compilation site

Monday, Nov. 23

Agenda

Simple Web Scraping

Exercises

Web Scraping in R: Simple Web Scraper 

http://bit.ly/scrapeme

Wednesday, Nov. 25

Agenda

OFF - THANKSGIVING

R Markdown: 

Video:

Monday, Nov. 30

Agenda

Flexible schedule. Reporting Updates

Splitting Hashtags 2-25-19.R   

Wednesday, Dec. 2

Agenda

 Flexible schedule. Reporting Updates

Monday, Dec. 7

Agenda

Flexible schedule. Reporting Updates

Important!

Course Evaluation
Please do me  a favor and evaluate this course. 
It's important to me and the department to get your thoughts
on what worked and what did not. 
If you think it is important, 
then please take five minutes to fill out the survey.

https://courseval.uark.edu/

Wednesday, Dec. 8

Agenda

  Zoom Party

Congratulations!

 We covered a lot this semester